This book employs an abstract kernel fractional calculus with applications to Prabhakar and non-singular kernel fractional calculi. The results are univariate a

This book is about the generalization and modernization of approximation by neural network operators. Functions under approximation and the neural networks are

In this book, we introduce the parametrized, deformed and general activation function of neural networks. The parametrized activation function kills much less n

This is the second of a five-volume exposition of the main principles of nonlinear functional analysis and its applications to the natural sciences, economics,

Fractional calculus was first developed by pure mathematicians in the middle of the 19th century. Some 100 years later, engineers and physicists have found appl